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ROCm Support : Tile_Layout kernel #1201

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@petrex petrex commented Oct 30, 2024

This pull request introduces support for ROCm (Radeon Open Compute) in addition to CUDA for GPU acceleration. The changes primarily focus on enabling the build and execution of ROCm-specific code paths alongside existing CUDA paths.

In this PR, I use tensor_core_tiled_layout as proof of concept, but it generalizes to other kernels (for example, fp6_llm or sparse_marlin) with minimum effort. Feedback are welcome

co-author : @lcskrishna

Features:

ROCm Support Integration:

  • setup.py: Added detection for ROCm and adjusted the logic for compiling GPU extensions based on the availability of CUDA or ROCm.

Conditional Compilation for ROCm:

These changes ensure that the codebase can compile and run efficiently on both CUDA and ROCm platforms, leveraging the best available GPU acceleration technology.

Usage

With ROCm pytorch nightly docker , simply run PYTORCH_ROCM_ARCH=gfx942 python setup.py install

Next

  • AMD specific unit tests (tensor_core_tiled_layout)
  • workload and platform specific optimization (tensor_core_tiled_layout)

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pytorch-bot bot commented Oct 30, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1201

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure

As of commit 89bae5f with merge base e1cb44a (image):

NEW FAILURE - The following job has failed:

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Oct 30, 2024
@petrex petrex mentioned this pull request Oct 31, 2024
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@msaroufim msaroufim self-requested a review November 2, 2024 22:50
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Thanks! Left some prelim feedback more of a n00b question but is this the main way you've seen ROCm supported in new codebases? The other approach would be to have some code duplication and avoid a boolean flag like USE_ROCM in the .cu file

setup.py Outdated
@@ -57,11 +59,11 @@ def get_extensions():

if not torch.cuda.is_available():
print("PyTorch GPU support is not available. Skipping compilation of CUDA extensions")
if CUDA_HOME is None and torch.cuda.is_available():
print("CUDA toolkit is not available. Skipping compilation of CUDA extensions")
if CUDA_HOME is None or not IS_ROCM and torch.cuda.is_available():
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some of these if conditions might cause our binary builds to break - check CI, since we run binary builds when people modify setup.py

Until you get your first PR merged I'll have to manually approve every CI run so might be easiest if you wanna make some simple doc level PR and I can merge that fast

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thanks for approving the CI flow, we will look into this

@jcaip jcaip mentioned this pull request Nov 11, 2024
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petrex commented Nov 13, 2024

@msaroufim can we have the CI flow to test the change? thanks

@petrex petrex changed the title ROCm Support Integration ROCm Support : HIP kernel Generator Nov 13, 2024
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I gave you triage access @petrex - what might help is also merging some simple PR since after that you shouldn't need me to trigger CI for you

yanbing-j pushed a commit to yanbing-j/ao that referenced this pull request Dec 9, 2024
@petrex petrex added the topic: new feature Use this tag if this PR adds a new feature label Jan 6, 2025
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petrex commented Jan 6, 2025

@msaroufim happy new year! The 2 failing CI check seems irrelevant to this PR? Any tips?

  /usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin +refs/heads/rocm_enablement_staging*:refs/remotes/origin/rocm_enablement_staging* +refs/tags/rocm_enablement_staging*:refs/tags/rocm_enablement_staging*
  Error: The process '/usr/bin/git' failed with exit code 1

@petrex petrex self-assigned this Jan 6, 2025
@petrex petrex requested review from msaroufim and lcskrishna January 8, 2025 15:59
@petrex petrex changed the title ROCm Support : HIP kernel Generator ROCm Support : Tile_Layout Lernel Jan 9, 2025
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thanks! this is the dequantize and unpack_dequantize op btw, the packing op and int4mm op lives in pytorch right now: https://github.com/pytorch/pytorch/blob/b1c2c3967adf035356abfcb90d0b39ff7ee63707/aten/src/ATen/native/native_functions.yaml#L4162-L4170

but this can be used to test build for ROCm

@petrex petrex changed the title ROCm Support : Tile_Layout Lernel ROCm Support : Tile_Layout kernel Jan 9, 2025
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5 participants